Roozbeh Valavi

3.1k total citations · 3 hit papers
28 papers, 1.8k citations indexed

About

Roozbeh Valavi is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Roozbeh Valavi has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 13 papers in Global and Planetary Change and 11 papers in Ecological Modeling. Recurrent topics in Roozbeh Valavi's work include Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (7 papers) and Land Use and Ecosystem Services (6 papers). Roozbeh Valavi is often cited by papers focused on Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (7 papers) and Land Use and Ecosystem Services (6 papers). Roozbeh Valavi collaborates with scholars based in Australia, Iran and United States. Roozbeh Valavi's co-authors include Jane Elith, José J. Lahoz‐Monfort, Gurutzeta Guillera‐Arroita, Hossein Shafizadeh‐Moghadam, Ataollah Shirzadi, Kamran Chapi, Himan Shahabi, Nikou Hamzehpour, Thorsten Behrens and Ruhollah Taghizadeh‐Mehrjardi and has published in prestigious journals such as Scientific Reports, Water Resources Research and Journal of Hydrology.

In The Last Decade

Roozbeh Valavi

26 papers receiving 1.8k citations

Hit Papers

Predictive performance of presence‐only species distri... 2018 2026 2020 2023 2021 2018 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
    2021 427 citations Roozbeh Valavi, Gurutzeta Guillera‐Arroita et al. profile →
  2. block CV : An r package for generating spatially or environmentally separated folds for k ‐fold cross‐validation of species distribution models
    2018 412 citations Roozbeh Valavi, Jane Elith et al. Methods in Ecology and Evolution profile →
  3. Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
    2018 288 citations Hossein Shafizadeh‐Moghadam, Roozbeh Valavi et al. Journal of Environmental Management profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roozbeh Valavi Australia 13 751 750 612 429 402 28 1.8k
Alessandro Gimona United Kingdom 25 362 0.5× 820 1.1× 876 1.4× 395 0.9× 482 1.2× 68 2.1k
S. P. S. Kushwaha India 23 655 0.9× 939 1.3× 648 1.1× 561 1.3× 368 0.9× 68 2.0k
Peder Klith Bøcher Denmark 26 256 0.3× 702 0.9× 883 1.4× 544 1.3× 573 1.4× 44 2.1k
Domingo Alcaraz‐Segura Spain 28 571 0.8× 1.2k 1.6× 1.3k 2.1× 395 0.9× 462 1.1× 86 2.4k
Ellen E. Freeman United States 16 618 0.8× 911 1.2× 615 1.0× 734 1.7× 364 0.9× 27 1.9k
Hannes Feilhauer Germany 33 861 1.1× 1.7k 2.2× 864 1.4× 556 1.3× 569 1.4× 84 2.6k
Richard Aspinall United States 26 651 0.9× 1.2k 1.5× 943 1.5× 703 1.6× 371 0.9× 61 2.7k
Yohay Carmel Israel 24 327 0.4× 909 1.2× 943 1.5× 651 1.5× 293 0.7× 81 2.3k
Margaret Kalácska Canada 31 403 0.5× 1.6k 2.1× 930 1.5× 670 1.6× 724 1.8× 99 2.9k
Severin Hauenstein Germany 7 479 0.6× 646 0.9× 316 0.5× 361 0.8× 207 0.5× 8 1.5k

Countries citing papers authored by Roozbeh Valavi

Since Specialization
Citations

This map shows the geographic impact of Roozbeh Valavi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roozbeh Valavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roozbeh Valavi more than expected).

Fields of papers citing papers by Roozbeh Valavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roozbeh Valavi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roozbeh Valavi. The network helps show where Roozbeh Valavi may publish in the future.

Co-authorship network of co-authors of Roozbeh Valavi

This figure shows the co-authorship network connecting the top 25 collaborators of Roozbeh Valavi. A scholar is included among the top collaborators of Roozbeh Valavi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roozbeh Valavi. Roozbeh Valavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mokany, Karel, Chris Ware, Roozbeh Valavi, et al.. (2025). A habitat‐based approach to reporting the direct impacts of an organization on biodiversity. Conservation Biology. 39(6). e70071–e70071.
2.
Yang, Jinyan, Christopher J. Owers, Katherine M. Giljohann, et al.. (2025). A Framework for Dynamic Assessment of Terrestrial Ecosystem Condition. Global Ecology and Biogeography. 34(10).
3.
Mostafavi, Hossein, M. Ali Akbar, Hossein Aghighi, et al.. (2023). Impacts of climate change on the distribution of riverine endemic fish species in Iran, a biodiversity hotspot region. Freshwater Biology. 68(6). 1007–1019. 10 indexed citations
4.
Valavi, Roozbeh, et al.. (2023). Maximising the informativeness of new records in spatial sampling design. Methods in Ecology and Evolution. 15(1). 178–190. 4 indexed citations
5.
Mostafavi, Hossein, Ali Akbar Matkan, Roozbeh Valavi, et al.. (2023). Predicting climate heating impacts on riverine fish species diversity in a biodiversity hotspot region. Scientific Reports. 13(1). 14347–14347. 21 indexed citations
6.
Valavi, Roozbeh, Jane Elith, José J. Lahoz‐Monfort, & Gurutzeta Guillera‐Arroita. (2023). Flexible species distribution modelling methods perform well on spatially separated testing data. Global Ecology and Biogeography. 32(3). 369–383. 38 indexed citations
7.
Southwell, Darren, David P. Wilkinson, Tianxiao Hao, et al.. (2022). A gap analysis of reconnaissance surveys assessing the impact of the 2019–20 wildfires on vertebrates in Australia. Biological Conservation. 270. 109573–109573. 3 indexed citations
8.
Shafizadeh‐Moghadam, Hossein, et al.. (2021). On the spatiotemporal generalization of machine learning and ensemble models for simulating built‐up land expansion. Transactions in GIS. 26(2). 1080–1097. 7 indexed citations
9.
Maino, James L., et al.. (2021). Spatial Variation in Australian Neonicotinoid Usage and Priorities for Resistance Monitoring. Journal of Economic Entomology. 114(6). 2524–2533. 7 indexed citations
10.
Valavi, Roozbeh, Jane Elith, José J. Lahoz‐Monfort, & Gurutzeta Guillera‐Arroita. (2021). Modelling species presence‐only data with random forests. Ecography. 44(12). 1731–1742. 136 indexed citations
11.
Valavi, Roozbeh, et al.. (2021). Testing the Influence of Seascape Connectivity on Marine-Based Species Distribution Models. Frontiers in Marine Science. 8. 5 indexed citations
12.
Saintilan, Neil, et al.. (2021). The ecohydrological impact of water resource developments through inundation regime analysis of a large semi-arid floodplain. Journal of Hydrology. 596. 126127–126127. 9 indexed citations
13.
Taghizadeh‐Mehrjardi, Ruhollah, Karsten Schmidt, Alireza Amirian‐Chakan, et al.. (2020). Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space. Remote Sensing. 12(7). 1095–1095. 157 indexed citations
14.
Shafizadeh‐Moghadam, Hossein, Qihao Weng, Hua Liu, & Roozbeh Valavi. (2020). Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran. GIScience & Remote Sensing. 57(4). 483–496. 60 indexed citations
15.
Taghizadeh‐Mehrjardi, Ruhollah, Karsten Schmidt, Mojtaba Zeraatpisheh, et al.. (2019). Soil organic carbon mapping using state-of-the-art machine learning algorithms and deep neural networks in different climatic regions of Iran. EGUGA. 4146. 2 indexed citations
16.
Hamzehpour, Nikou, Hossein Shafizadeh‐Moghadam, & Roozbeh Valavi. (2019). Exploring the driving forces and digital mapping of soil organic carbon using remote sensing and soil texture. CATENA. 182. 104141–104141. 99 indexed citations
17.
Valavi, Roozbeh, Jane Elith, José J. Lahoz‐Monfort, & Gurutzeta Guillera‐Arroita. (2018). block CV : An r package for generating spatially or environmentally separated folds for k ‐fold cross‐validation of species distribution models. Methods in Ecology and Evolution. 10(2). 225–232. 412 indexed citations breakdown →
18.
Shafizadeh‐Moghadam, Hossein, Roozbeh Valavi, Himan Shahabi, Kamran Chapi, & Ataollah Shirzadi. (2018). Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping. Journal of Environmental Management. 217. 1–11. 288 indexed citations breakdown →
19.
Valavi, Roozbeh, et al.. (2018). Modelling climate change effects on Zagros forests in Iran using individual and ensemble forecasting approaches. Theoretical and Applied Climatology. 137(1-2). 1015–1025. 32 indexed citations
20.
Mostafavi, Hossein, et al.. (2018). Modelling the effects of climate change on the distribution of Kura bleak (Alburnus filippii Kessler, 1877) on the Iranian scale. 6(4). 1–12. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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